L. Cai

This study uses spatial transcriptomics to analyze microbial populations, revealing spatially resolved metabolic and virulence states in Pseudomonas aeruginosa.

This study identifies a YY1:BRD4-PFKP regulatory axis critical for castration-resistant prostate cancer tumorigenesis through cistrome analysis and functional experiments.

This study examines the relationship between neuroendocrine and immune gene expression in SCLC, finding that variant SCLC tumors regain immune gene expression and exhibit higher tumor-immune interactions.

The paper identifies a cellular transition from adipose-derived stromal cells to COL11A1-expressing cancer-associated fibroblasts across multiple cancers using single-cell analysis.

This study investigates the factors causing unresolved phylogenetic relationships in Malpighiales, finding that gene tree heterogeneity arises from incomplete lineage sorting, gene tree estimation error, and ancient gene flow.

The paper identifies the hexosamine biosynthesis pathway as a metabolic vulnerability in KRAS/LKB1 mutant lung cancers and shows GFPT2 inhibition reduces tumor growth.

The paper identifies 3,763 SUMO1 modification sites and their dependence on six SENP proteins, revealing SENP3's role in innate immunity through deSUMOylation of DHX15 and PCBP2.

This study develops a deep learning method to correct diffusion MRI distortions without reverse phase-encoding scans or field maps, showing effective correction on diverse datasets.

The paper develops individualized ctDNA fingerprint panels to monitor treatment response and recurrence across multiple cancer types using whole-exome sequencing data.

The paper quantifies metabolic features in NSCLC cell lines to explore associations between metabolism and other cell-autonomous processes.

This study shows Lin28B promotes chemoresistance and poor prognosis in HCC, and curcumin reverses this by inhibiting Lin28B.

This study uses a deep CNN to analyze lung cancer pathology images, identifies tumor shape features linked to survival, and develops a prognostic model validated in an independent cohort.

The paper constructs a lung cancer database with gene expression and clinical data from 6,700 patients and develops an open web portal for data exploration and analysis.

The paper identifies 22 ancient whole genome duplications in Malpighiales, clustered around the Eocene-Paleocene Transition, supporting the hypothesis that WGDs aid plant survival during climatic upheavals.